DuckDB-Wasm: Fast Analytical Processing for the Web
Summary: DuckDB-Wasm: a WebAssembly-based analytics DB in the browser, with async SQL in web workers and JavaScript UDFs. Uses a page-based filesystem for local/remote data; outperforms prior Web analytics libraries on TPC-H; enables an in-browser SQL shell. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. André Kohn (Technical University of Munich)
- 2. Dominik Moritz (Carnegie Mellon University)
- 3. Mark Raasveldt (Centrum Wiskunde & Informatica)
- 4. Hannes Mühleisen (Centrum Wiskunde & Informatica)
- 5. Thomas Neumann (Technical University of Munich)
BibTeX Citation
@article{kohn_vldb22,
title = {{DuckDB-Wasm: Fast Analytical Processing for the Web}},
author = {Kohn, André and Moritz, Dominik and Raasveldt, Mark and Mühleisen, Hannes and Neumann, Thomas},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3574--3577},
doi = {10.14778/3554821.3554847},
url = {https://doi.org/10.14778/3554821.3554847},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,439 | DuckPGQ: Bringing SQL/PGQ to DuckDB | 2023 | VLDB | 5.8787285e-05 |
| 6,481 | MotherDuck: DuckDB in the cloud and in the client | 2024 | CIDR | 5.8669399e-05 |
| 9,277 | F3: The Open-Source Data File Format for the Future | 2026 | SIGMOD | 5.2937431e-05 |
| 10,123 | Cloudspecs: Cloud Hardware Evolution Through the Looking Glass | 2026 | CIDR | 5.093636e-05 |
| 10,773 | Physical Visualization Design: Decoupling Interface and System Design | 2025 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 103 | DuckDB: an Embeddable Analytical Database | 2019 | SIGMOD | 0.00034161428 |
| 2,000 | Data Management for Data Science: Towards Embedded Analytics | 2020 | CIDR | 9.3336258e-05 |
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